{"id":"https://openalex.org/W3198194663","doi":"https://doi.org/10.14778/3476311.3476371","title":"Mixer","display_name":"Mixer","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3198194663","doi":"https://doi.org/10.14778/3476311.3476371","mag":"3198194663"},"language":"en","primary_location":{"id":"doi:10.14778/3476311.3476371","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476311.3476371","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031178158","display_name":"An Qin","orcid":"https://orcid.org/0000-0002-3333-5363"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Qin","raw_affiliation_strings":["Baidu, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010058430","display_name":"Mengbai Xiao","orcid":"https://orcid.org/0000-0002-6305-8125"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengbai Xiao","raw_affiliation_strings":["Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602897","display_name":"Yongwei Wu","orcid":"https://orcid.org/0000-0002-6651-7032"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Wu","raw_affiliation_strings":["Baidu, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047481410","display_name":"Xinjie Huang","orcid":"https://orcid.org/0000-0001-7833-8886"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Huang","raw_affiliation_strings":["Baidu, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038289908","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0000-0003-2217-6173"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["The Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3769,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60226801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"12","first_page":"2906","last_page":"2917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7847816944122314},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6669394969940186},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5321703553199768},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5068534016609192},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4890742897987366},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4814023971557617},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.46105635166168213},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.451643705368042},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4478929936885834},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43499046564102173},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4105483293533325},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3601762652397156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35747575759887695},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19781967997550964},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14550286531448364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7847816944122314},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6669394969940186},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5321703553199768},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5068534016609192},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4890742897987366},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4814023971557617},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.46105635166168213},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.451643705368042},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4478929936885834},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43499046564102173},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4105483293533325},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3601762652397156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35747575759887695},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19781967997550964},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14550286531448364},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3476311.3476371","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476311.3476371","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1913628733","https://openalex.org/W2025432722","https://openalex.org/W2067766814","https://openalex.org/W2110975861","https://openalex.org/W2111006384","https://openalex.org/W2119062120","https://openalex.org/W2124386111","https://openalex.org/W2124509324","https://openalex.org/W2128109799","https://openalex.org/W2132234208","https://openalex.org/W2138600229","https://openalex.org/W2151822116","https://openalex.org/W2157355274","https://openalex.org/W2162659160","https://openalex.org/W2171572695","https://openalex.org/W2263483768","https://openalex.org/W2327501763","https://openalex.org/W2468923260","https://openalex.org/W2507009361","https://openalex.org/W2563614140","https://openalex.org/W2596367596","https://openalex.org/W2752236330","https://openalex.org/W2769342113","https://openalex.org/W2786278116","https://openalex.org/W2787360217","https://openalex.org/W2899457449","https://openalex.org/W2912981821","https://openalex.org/W2913260599","https://openalex.org/W2949298458","https://openalex.org/W2949505856","https://openalex.org/W2950110611","https://openalex.org/W2950468936","https://openalex.org/W2950971447","https://openalex.org/W2952307259","https://openalex.org/W2962899219","https://openalex.org/W2963037989","https://openalex.org/W2963213349","https://openalex.org/W2963510045","https://openalex.org/W2965669158","https://openalex.org/W2969985801","https://openalex.org/W2989871649","https://openalex.org/W2998752879","https://openalex.org/W3000318171","https://openalex.org/W3010010212","https://openalex.org/W3010864790","https://openalex.org/W3085011441","https://openalex.org/W3086715908","https://openalex.org/W3101275901","https://openalex.org/W3103272053","https://openalex.org/W3106402164","https://openalex.org/W3173612853","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2136583354","https://openalex.org/W2358294942","https://openalex.org/W4367460280","https://openalex.org/W4301519770"],"abstract_inverted_index":{"Visual":[0],"contents,":[1,72],"including":[2],"images":[3,120],"and":[4,28,48,52,68,79,107,117,121,147,157,170,177],"videos,":[5,122],"are":[6,91,110,115,128],"dominant":[7],"on":[8],"the":[9,84,88,135,153,159,168,189,209],"Internet":[10],"today.":[11],"The":[12,141],"conventional":[13],"search":[14,190,210],"engine":[15,191],"is":[16],"mainly":[17],"designed":[18,116],"for":[19,57,104,119,194],"textual":[20],"documents,":[21],"which":[22,98,187],"must":[23],"be":[24],"extended":[25],"to":[26,46,53,130],"process":[27],"manage":[29],"increasingly":[30],"high":[31,77],"volumes":[32],"of":[33,97,134,172,205],"visual":[34,50,71,89,101,195],"data":[35,58,221],"objects.":[36],"In":[37,86,124],"this":[38,125],"paper,":[39],"we":[40,127,212],"present":[41],"Mixer,":[42,87],"an":[43],"effective":[44],"system":[45,215],"identify":[47],"analyze":[49],"contents":[51,196],"extract":[54],"their":[55],"features":[56],"retrievals,":[59],"aiming":[60],"at":[61,76,175,197],"addressing":[62],"two":[63,136],"critical":[64],"issues:":[65],"(1)":[66],"efficiently":[67],"timely":[69],"understanding":[70],"(2)":[73],"retrieving":[74],"them":[75],"precision":[78,169],"recall":[80,171],"rates":[81],"without":[82],"impairing":[83],"performance.":[85],"objects":[90],"categorized":[92],"into":[93],"different":[94],"classes,":[95],"each":[96],"has":[99,181],"representative":[100],"features.":[102],"Subsystems":[103],"model":[105,108,154],"production":[106,145,155,161],"execution":[109],"developed.":[111],"Two":[112],"retrieval":[113],"layers":[114],"implemented":[118],"respectively.":[123,179],"way,":[126],"able":[129],"perform":[131],"aggregation":[132],"retrievals":[133,174],"types":[137],"in":[138,183,208],"efficient":[139],"ways.":[140],"experiments":[142],"with":[143],"Baidu's":[144],"workloads":[146],"systems":[148],"show":[149],"that":[150],"Mixer":[151,165,180],"halves":[152],"time":[156],"raises":[158],"feature":[160],"throughput":[162],"by":[163],"9.14x.":[164],"also":[166],"achieves":[167],"video":[173],"95%":[176],"97%,":[178],"been":[182],"its":[184],"daily":[185],"operations,":[186],"makes":[188],"highly":[192],"scalable":[193],"a":[198],"low":[199],"cost.":[200],"Having":[201],"observed":[202],"productivity":[203],"improvement":[204],"upper-level":[206],"applications":[207],"engine,":[211],"believe":[213],"our":[214],"framework":[216],"would":[217],"generally":[218],"benefit":[219],"other":[220],"processing":[222],"applications.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-09-13T00:00:00"}